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Paper Citation Record · LEDGER

Safe Primal-Dual Optimization with a Single Smooth Constraint

As of 19 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2505.09349.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.09349 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:48:26.491308Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

22 of 22 outbound references displayed

  • verified exact2
  • verified fuzzy11
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c852de5a-4162-4ce5-bc0a-841e0c07c247 · outbound

This paper cites Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics.

Safe Primal-Dual Optimization with a Single Smooth Constraint Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T21:48:25.913059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:48:25.913059Z digest=sha256:8fa0f6e1c5a94d6ae84124865a9aabbfc304e96c2bfdf314e96308377b372c5e

Observation 7be58a50-d392-4310-a60c-be12db90e18c · outbound

This paper cites an unresolved cited work.

Safe Primal-Dual Optimization with a Single Smooth Constraint Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-15T21:48:25.925530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:48:25.925530Z digest=sha256:aca162e9c22d28cb9038024a7565ae7415a1d5f1ddecd0d5bc0c6e0f4fcc529a

Observation c75479dc-b8e3-4cf3-ba1d-d0ee607d6341 · outbound

This paper cites Sasbo: Self-adapting safe bayesian optimization.

Safe Primal-Dual Optimization with a Single Smooth Constraint Sasbo: Self-adapting safe bayesian optimization

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:48:27.387649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T21:48:25.956033Z digest=sha256:ffd3e7cc712a879b6e0bc41ca59676e0f1d4a9c6c54faaccda031d775208cd6c

Observation ea9f4b86-fdb7-4211-a19c-79a3947f32cd · outbound

This paper cites Reinforcement learning approach to autonomous pid tuning.

Safe Primal-Dual Optimization with a Single Smooth Constraint Reinforcement learning approach to autonomous pid tuning

Reference 4

Resolution
metadata mismatch
raw_fallback, observed 2026-08-15T21:48:26.964297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T21:48:25.986773Z digest=sha256:57b491bd79a60ab5fbb182698b973c3faa41613e2230974626c9468a21d59721

Observation 09cae4ee-830f-4ed7-953a-f2870a9d6679 · outbound

This paper cites Randomized Smoothing for Stochastic Optimization.

Safe Primal-Dual Optimization with a Single Smooth Constraint Randomized Smoothing for Stochastic Optimization

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-15T21:48:26.777623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T21:48:26.043511Z digest=sha256:e94ffa334def30e8b0f02a903cacfac8945134d36b7b297726b77cea5d3992c2

Observation 467f22fe-db62-4073-88a8-d242bae0734a · outbound

This paper cites Safe Learning under Uncertain Objectives and Constraints.

Safe Primal-Dual Optimization with a Single Smooth Constraint Safe Learning under Uncertain Objectives and Constraints

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-15T21:48:26.699570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T21:48:26.177795Z digest=sha256:87cc57f1fce66a18526d6d0afd65af4cd19c51908df27e2bb458ad31d0d54799

Observation 3ea96b92-3c78-4f60-9e38-e72e130d4efd · outbound

This paper cites Safe zeroth-order optimization using quadratic local approximations, 2023.

Safe Primal-Dual Optimization with a Single Smooth Constraint Safe zeroth-order optimization using quadratic local approximations, 2023

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:48:27.374735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T21:48:26.183373Z digest=sha256:1c3b8b9b4c53b219842ae15061e0e8ad3ffd5a209f8c5f9d5284f9820c6fbc4d

Observation 76a69533-628c-4837-be0a-427418bb40b9 · outbound

This paper cites Online convex optimization with hard constraints: Towards the best of two worlds and beyond.

Safe Primal-Dual Optimization with a Single Smooth Constraint Online convex optimization with hard constraints: Towards the best of two worlds and beyond

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:48:27.361138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T21:48:26.189002Z digest=sha256:440780cf7ef7c80ab5a738eba07534264643e33083a3ce09a0d9dc48c3807bf7

Observation 6411b1d0-a556-4a39-8e22-1d22d9b2af30 · outbound

This paper cites High-Dimensional Bayesian Optimization via Tree-Structured Additive Models.

Safe Primal-Dual Optimization with a Single Smooth Constraint High-Dimensional Bayesian Optimization via Tree-Structured Additive Models

Reference 9

Resolution
metadata mismatch
local_arxiv, observed 2026-08-15T21:48:26.680525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T21:48:26.193491Z digest=sha256:3a5daf44f67d304353a2f371864a0496f21c355112be81ad596fe6c984638916

Observation 715fb5df-f872-48cb-a16c-589ec27a7574 · outbound

This paper cites Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces.

Safe Primal-Dual Optimization with a Single Smooth Constraint Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T21:48:26.198084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:48:26.198084Z digest=sha256:237b55a283121904571399f2b0e5892c1f73ddc9193db0f801cdcab7e7808c6b

Observation 52415163-68e7-4465-ae97-964f73c3d4b0 · outbound

This paper cites Bayesian optimisation for fast and safe parameter tuning of swissfel.

Safe Primal-Dual Optimization with a Single Smooth Constraint Bayesian optimisation for fast and safe parameter tuning of swissfel

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:48:27.346698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T21:48:26.202646Z digest=sha256:464d806085b4aab2693f600e445090aac4b86eb2e700d03748407a6508b4aefd

Observation 9612bc1e-4be3-46c1-bf59-6301539e431a · outbound

This paper cites Balta, Andreas Krause, and Alisa Rupenyan.

Safe Primal-Dual Optimization with a Single Smooth Constraint Balta, Andreas Krause, and Alisa Rupenyan

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:48:27.242216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T21:48:26.207085Z digest=sha256:8e5d6e8cc5c8302b2fcf1e25c6535ab65ad8278915cbf70e59b6ed76f676d221

Observation a3cd1bf9-3997-4a56-96c3-108d357a31de · outbound

This paper cites Safe risk-averse bayesian optimization for controller tuning.

Safe Primal-Dual Optimization with a Single Smooth Constraint Safe risk-averse bayesian optimization for controller tuning

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:48:27.136357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T21:48:26.211311Z digest=sha256:c6e66d5a4003eb84af181b9b1f684c96a97389a5ccd0a5aed8ad823f3b741c43

Observation b5aeeb67-e437-4939-96a6-9ac0a7636977 · outbound

This paper cites The fritz john necessary optimality conditions in the presence of equality and inequality constraints.

Safe Primal-Dual Optimization with a Single Smooth Constraint The fritz john necessary optimality conditions in the presence of equality and inequality constraints

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T21:48:26.214957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:48:26.214957Z digest=sha256:66b68130f8f68ea0fd02f95bc64bddb4667e18d826c244c4124a7ea93a154d64

Observation 97d7b077-9df4-4c27-9054-1848b8900735 · outbound

This paper cites Benchmarking Batch Deep Reinforcement Learning Algorithms.

Safe Primal-Dual Optimization with a Single Smooth Constraint Benchmarking Batch Deep Reinforcement Learning Algorithms

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-15T21:48:26.219026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:48:26.219026Z digest=sha256:e3f970c4b35156f479ff80e299b2a1b95b37b10e3e73290a541ec2fc1a8bb457

Observation 6c8a5afc-6e1c-42a7-bcb6-732279a39563 · outbound

This paper cites Safe exploration for optimization with gaussian processes.

Safe Primal-Dual Optimization with a Single Smooth Constraint Safe exploration for optimization with gaussian processes

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:48:27.073453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T21:48:26.223722Z digest=sha256:c9ac323393e19fd5c2425b24efbbc777992a30276bf77a59ab43a4ba0fc7419b

Observation 967b1f90-9bae-4e25-9497-f96a57be03fa · outbound

This paper cites Safe convex learning under uncertain constraints.

Safe Primal-Dual Optimization with a Single Smooth Constraint Safe convex learning under uncertain constraints

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:48:27.059981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T21:48:26.227431Z digest=sha256:615e536d644049f0a048d78c6b033877379a47f61b9649715eb8cc1c64fbadbe

Observation 1e9ef741-3692-49cf-9e09-57c7f67bdfb0 · outbound

This paper cites Safe non-smooth black-box optimization with application to policy search.

Safe Primal-Dual Optimization with a Single Smooth Constraint Safe non-smooth black-box optimization with application to policy search

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:48:27.045430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T21:48:26.232242Z digest=sha256:24ed86d789e0207b8e22ef07a16e16926d40e0a791fca11340d2ff07c078a3ca

Observation 33e17d5e-ab82-49de-add9-f9804711f452 · outbound

This paper cites Log barriers for safe black-box optimization with application to safe reinforcement learning, 2023.

Safe Primal-Dual Optimization with a Single Smooth Constraint Log barriers for safe black-box optimization with application to safe reinforcement learning, 2023

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:48:27.031768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T21:48:26.343539Z digest=sha256:6dd6d27683e5e6f7551c3572d1584240ec72a0bd9c38987150a83af6cfd8819b

Observation b112913a-b0c9-4663-a5c5-092e13c97143 · outbound

This paper cites an unresolved cited work.

Safe Primal-Dual Optimization with a Single Smooth Constraint Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:48:27.017842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T21:48:26.482343Z digest=sha256:2f4086440cd86fa51e49d6657043a4981bee12a770c5ffb0b74044c1551952b3

Observation a5a31056-78bb-4e19-9563-cd1a926494f4 · outbound

This paper cites an unresolved cited work.

Safe Primal-Dual Optimization with a Single Smooth Constraint Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:48:27.004529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T21:48:26.487042Z digest=sha256:4c23c91e9e32818cc538c407c9f249b5ec2ef23fbfb43990323442d2395b2839

Observation c7909fe3-16b1-4e48-87e5-ce2fee58117f · outbound

This paper cites A single-loop smoothed gradient descent-ascent algorithm for nonconvex-concave min-max problems.

Safe Primal-Dual Optimization with a Single Smooth Constraint A single-loop smoothed gradient descent-ascent algorithm for nonconvex-concave min-max problems

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:48:26.991307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T21:48:26.491308Z digest=sha256:36ece047052405587af0796ae81aaef4dd71191b5d5b2795b12fb24a840bff47

Pith citing papers

No inbound Pith citation observations are available.